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  • 标题:Cloud Reference Architecture for Big data Analytics
  • 本地全文:下载
  • 作者:Archna Aggarwal ; Nisha Pandey
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2018
  • 卷号:6
  • 期号:3
  • 页码:2363
  • DOI:10.15680/IJIRCCE.2017.0603117
  • 出版社:S&S Publications
  • 摘要:In many areas, information technology has made possible the availability of enormous information foranalysts and decision-makers. To capture, store, distribute, manage and analyze the larger sized information newtechniques, technologies and tools are required. These large sized data sets are called big data. Data sets are not onlylarge, but are also very huge in velocity and variety, making them difficult to handle using traditional techniques andtools are referred as Big data. Structured, semi-structured and unstructured data that has the potential to be mined forinformation is big data. Big data can be analyzed for better decisions and strategic business moves for insights. Newalgorithms, techniques, architecture, and analytics are needed to manage and extract value and hidden knowledge frombig data because it is diverse and complex.
  • 关键词:Big data; Data Analytics; Cloud Computing; Private Cloud; Public Cloud; Hybrid Cloud; Layered;Architecture; Hadoop.
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